Rory Munro
minoTour, real-time monitoring and analysis for nanopore sequencers
Munro, Rory; Santos, Roberto; Payne, Alexander; Forey, Teri; Osei, Solomon; Holmes, Nadine; Loose, Matthew
Authors
Roberto Santos
Alexander Payne
Teri Forey
Solomon Osei
Nadine Holmes
Professor Matthew Loose matt.loose@nottingham.ac.uk
PROFESSOR OF DEVELOPMENTAL AND COMPUTATIONAL BIOLOGY
Abstract
Summary: MinoTour offers a LIMS system for Oxford Nanopore Technology sequencers, with real-time metrics and analysis available permanently for review. Integration of unique real-time automated analysis can reduce the time required to answer biological questions, including mapping and classification of sequence whilst a run is in progress. Real-time sequence data requires new methods of analysis which do not wait for the completion of a run and MinoTour provides a framework to allow users to exploit these features.
Citation
Munro, R., Santos, R., Payne, A., Forey, T., Osei, S., Holmes, N., & Loose, M. (2022). minoTour, real-time monitoring and analysis for nanopore sequencers. Bioinformatics, 38(4), 1133-1135. https://doi.org/10.1093/bioinformatics/btab780
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 8, 2021 |
Online Publication Date | Nov 15, 2021 |
Publication Date | Feb 15, 2022 |
Deposit Date | Nov 12, 2021 |
Publicly Available Date | Nov 16, 2022 |
Journal | Bioinformatics |
Print ISSN | 1367-4803 |
Electronic ISSN | 1460-2059 |
Publisher | Oxford University Press |
Peer Reviewed | Peer Reviewed |
Volume | 38 |
Issue | 4 |
Pages | 1133-1135 |
DOI | https://doi.org/10.1093/bioinformatics/btab780 |
Keywords | Computational Mathematics; Computational Theory and Mathematics; Computer Science Applications; Molecular Biology; Biochemistry; Statistics and Probability |
Public URL | https://nottingham-repository.worktribe.com/output/6682006 |
Publisher URL | https://academic.oup.com/bioinformatics/article/38/4/1133/6428657 |
Files
FUll Manuscript
(1.8 Mb)
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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